Jinqiang Bai

48 total papers · 988 total citations
20 papers, 572 citations indexed

About

Jinqiang Bai is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Analytical Chemistry. According to data from OpenAlex, Jinqiang Bai has authored 20 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Plant Science and 5 papers in Analytical Chemistry. Recurrent topics in Jinqiang Bai's work include Smart Agriculture and AI (7 papers), Spectroscopy and Chemometric Analyses (5 papers) and Robotic Path Planning Algorithms (4 papers). Jinqiang Bai is often cited by papers focused on Smart Agriculture and AI (7 papers), Spectroscopy and Chemometric Analyses (5 papers) and Robotic Path Planning Algorithms (4 papers). Jinqiang Bai collaborates with scholars based in China and Macao. Jinqiang Bai's co-authors include Dijun Liu, Shiguo Lian, Zhaoxiang Liu, Kai Wang, Kai Wang, Ye Li, Guobin Su, Zhongliang Fu, Dexin Ma and Jia Wang and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Jinqiang Bai

16 papers receiving 529 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jinqiang Bai 260 221 138 94 67 20 572
Weijian Hu 216 0.8× 325 1.5× 98 0.7× 57 0.6× 143 2.1× 24 587
Dijun Liu 260 1.0× 207 0.9× 136 1.0× 94 1.0× 64 1.0× 30 628
Ruiqi Cheng 245 0.9× 342 1.5× 89 0.6× 66 0.7× 138 2.1× 31 571
Jinsoo Cho 96 0.4× 244 1.1× 52 0.4× 25 0.3× 21 0.3× 50 564
Kai Wang 68 0.3× 172 0.8× 44 0.3× 33 0.4× 148 2.2× 32 563
Brandon Araki 225 0.9× 166 0.8× 135 1.0× 57 0.6× 80 1.2× 16 524
Khaled Saleh 45 0.2× 202 0.9× 68 0.5× 96 1.0× 33 0.5× 49 696
Suna Zhao 173 0.7× 88 0.4× 96 0.7× 5 0.1× 38 0.6× 35 620
Norman Hendrich 61 0.2× 178 0.8× 79 0.6× 33 0.4× 52 0.8× 52 648
Akansel Cosgun 101 0.4× 248 1.1× 116 0.8× 13 0.1× 110 1.6× 41 657

Countries citing papers authored by Jinqiang Bai

Since Specialization
Citations

This map shows the geographic impact of Jinqiang Bai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jinqiang Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinqiang Bai more than expected).

Fields of papers citing papers by Jinqiang Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jinqiang Bai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jinqiang Bai. The network helps show where Jinqiang Bai may publish in the future.

Co-authorship network of co-authors of Jinqiang Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Jinqiang Bai. A scholar is included among the top collaborators of Jinqiang Bai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinqiang Bai. Jinqiang Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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